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3D measures computed in monocular camera system for fall detection

Matsatsinis Nikolaos, Makantasis Konstantinos, Doulamis, Anastasios

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URIhttp://purl.tuc.gr/dl/dias/918A1E05-918B-4C23-ACFA-0682C54E5624-
Languageen-
Extent6 pagesen
Title3D measures computed in monocular camera system for fall detection en
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorMakantasis Konstantinosen
CreatorΜακαντασης Κωνσταντινοςel
CreatorDoulamis, Anastasiosen
Content SummaryTraumas resulting from falls have been reported as the second most common cause of death. For this reason, computer vision tools can be exploited for detecting humans’ fall incidents. In this paper, we propose a fast, real-time computer vision algorithm capable to detect humans’ falls in complex dynamically changing conditions, by exploiting the motion information in the scene and 3D space’s measures. This algorithm is using a single monocular low cost camera and it requires minimal computational cost and minimal memory requirements that make it suitable for large scale implementations in clinical institutes and home environments. The proposed scheme was tested in complex and dynamically changing visual conditions and as proved by the experiments it has the capability to detect over 92% of fall incidenten
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2012-
SubjectImage motion analysisen
Bibliographic CitationK. Makantasis, A. Doulamis, N. Matsatsinis ,"3D measures computed in monocular camera system for fall detection,"in 2nd International Conference on Advanced Communications and Computation,2012,pp.68-73.en

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